This is a major survey and assessment of U.S. intelligence activities over the last forty-five years. It offers a systematic and authoritative evaluation of American intelligence-gathering machinery: how it has been used, misused, and on occasion, ignored. The book has been hailed as "a splendid work, reflective and penetrating" by James R. Schlesinger; while Zbigniew Brzezinski describes Laqueur as "a man who understands the relationships between history and the world of secret services." Henry S. Rowen noted that Laqueur "brings a rare degree of analytical power to this important subject."
This is a major survey and assessment of U.S. intelligence activities over the last forty-five years. It offers a systematic and authoritative evaluation of American intelligence-gathering machinery: how it has been used, misused, and on occasion, ignored. The book has been hailed as "a splendid work, reflective and penetrating" by James R. Schlesinger; while Zbigniew Brzezinski describes Laqueur as "a man who understands the relationships between history and the world of secret services." Henry S. Rowen noted that Laqueur "brings a rare degree of analytical power to this important subject."
An analysis of Walter Laqueur's book A World of Secrets: The Uses and Limits of Intelligence concludes that it is useful professional reading for Air Force intelligence specialists. A synopsis of Laqueur's book and comparison of his conclusions with other contemporary focuses on three issues: the impact of intelligence on policy, the causes of intelligence failures, and the prospects for improvement of intelligence analysis. Keywords: Critiques; Reading. (kr).
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Since the turn of the century, the idea that intellectual capacity is fixed has been generally accepted. But increasingly, psychologists, educators, and others have come to challenge this premise. Outsmarting IQ reveals how earlier discoveries about IQ, together with recent research, show that intelligence is not genetically fixed. Intelligence can be taught. David Perkins, renowned for his research on thinking, learning, and education, identifies three distinct kinds of intelligence: the fixed neurological intelligence linked to IQ tests; the specialized knowledge and experience that individuals acquire over time; and reflective intelligence, the ability to become aware of one's mental habits and transcend limited patterns of thinking. Although all of these forms of intelligence function simultaneously, it is reflective intelligence, Perkins shows, that affords the best opportunity to amplify human intellect. This is the kind of intelligence that helps us to make wise personal decisions, solve challenging technical problems, find creative ideas, and learn complex topics in mathematics, the sciences, management, and other areas. It is the kind of intelligence most needed in an increasingly competitive and complicated world. Using his own pathbreaking research at Harvard and a rich array of other sources, Perkins paints a compelling picture of the skills and attitudes underlying learnable intelligence. He identifies typical pitfalls in multiple perspectives, and neglecting evidence. He reveals the underlying mechanisms of intelligent behavior. And he explores new frontiers in the development of intelligence in education, business, and other settings. This book will be of interest to people who have a personal or professional stake in increasing their intellectual skills, to those who look toward better education and a more thoughtful society, and not least to those who follow today's heated debates about the nature of intelligence.
In this seminal work, published by the C.I.A. itself, produced by Intelligence veteran Richards Heuer discusses three pivotal points. First, human minds are ill-equipped ("poorly wired") to cope effectively with both inherent and induced uncertainty. Second, increased knowledge of our inherent biases tends to be of little assistance to the analyst. And lastly, tools and techniques that apply higher levels of critical thinking can substantially improve analysis on complex problems.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings
A lively journey through the brain’s inner workings from “one of the world’s leading cognitive neuroscientists” (The Wall Street Journal). Human intelligence builds sprawling cities, vast cornfields, and complex microchips. It takes us from the atom to the limits of the universe. How does the biological brain, a collection of billions of cells, enable us to do things no other species can do? In this book, neuroscientist John Duncan offers an adventure story—the story of the hunt for basic principles of human intelligence, behavior, and thought. Using results drawn from classical studies of intelligence testing; from attempts to build computers that think; from studies of how minds change after brain damage; from modern discoveries of brain imaging; and from groundbreaking recent research, he synthesizes often difficult-to-understand information into clear, fascinating prose about how brains work. Moving from the foundations of psychology, artificial intelligence, and neuroscience to the most current scientific thinking, How Intelligence Happens is “a timely, original, and highly readable contribution to our understanding” (Nancy Kanwisher, MIT) from a winner of the Heineken Prize for Cognitive Science
A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.
